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publications:publi:mthubar16sort [2019/04/25 08:49]
publications:publi:mthubar16sort [2019/09/12 08:51] (current)
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 +<p> <h1> MthUbAr16SORT</​h1>​
 + <​p><​span class="​BibAuthor">​M.T. Higuera-Toledano,​ Uwe Brinkschulte,​ Achim Rettberg</​span>​. <span class="​BibJournalTitle">​SORT 2014</​span>​. <span class="​BibJournalName">​Concurrency and Computation:​ Practice and Experience</​span>,​ 28(14):​3709-3710,​ 2016.</​P><​p>​
 +<p>
 +<a name="​abstract"></​a><​h2>​ Abstract ​ </h2> <​P> ​
 +The increasing complexity of contemporary embedded computing systems requires the use of self-management in order to handle unforeseen changes in both hardware and application environments (i.e., hardware/​software defects, resource changes, and non-continual feature usage). Moreover, often these systems are distributed,​ running on processor architectures with multiple cores, which may require self-organization to ensure efficiency and reliability. Real-time properties are another key issue in many complex systems. Adaptive and self-organized properties extent the area of operations and improves the efficiency of the system resources at the cost to introduce additional complexity, overhead, and resource requirements. Consequently,​ real-time adaptive systems must be careful analyzed, designed, and built taken into account the right tradeoffs between flexibility and complexity, while accomplishing time-constrains. The combination of the flexibility and uncertain behavior of self-organizing systems with time-predictability is a grand challenge. Therefore, substantial research has been done in the last years to address the so-called Self-X features (e.g., self-configuration,​ self-optimization,​ self-adaptation,​ self-healing,​ and self-protection). This fact has as resutl that self-organizing computing systems become an established research nowadays as they promise to handle the increasing complexity resulting from highly distributed systems and ubiquitous applications. In addition, real-time properties are required in many areas (such as cyber physical systems) self-organizing computing systems are dealing with. Combining the flexible and and uncertain behavior of self-organizing systems with time-predictability necessary for real-time systems is a grand challenge<​p>​
 + <a name="​keyword"></​a>​ <​h2>​Keyword</​h2> ​ <p>[ <a href="/​doku.php?​id=publications:​keyword:​tin2015-65469-p">​Tin2015-65469-p</​a>​ ] 
 +<a name="​contact"></​a><​h2>​ Contact ​ </h2> <​P> ​
 +<a href="​mailto:​mthiguer@fdi.ucm.es">​Maria Teresa ​ Higuera-Toledano</​a> ​ <a href="/​teresa">​ <img src="/​lib/​exe/​fetch.php?​w=&​h=&​cache=cache&​media=html_icon.png"​ align=top border=0 alt =""></​a><​br> ​
 +
 +<a name="​bib"></​a><​h2>​ BibTex Reference ​ </h2> <​P> ​
 +@article{MthUbAr16SORT,​ <​br>&​nbsp;&​nbsp;&​nbsp;​Author = {Higuera-Toledano,​ M.T. and Brinkschulte,​ Uwe and Rettberg, Achim},<​br>&​nbsp;&​nbsp;&​nbsp;​Title = {SORT 2014},<​br>&​nbsp;&​nbsp;&​nbsp;​Journal = {Concurrency and Computation:​ Practice and Experience},<​br>&​nbsp;&​nbsp;&​nbsp;​Volume = {28},<​br>&​nbsp;&​nbsp;&​nbsp;​Number = {14},<​br>&​nbsp;&​nbsp;&​nbsp;​Pages = {3709--3710},<​br>&​nbsp;&​nbsp;&​nbsp;​Year = {2016}<​br>​} <​br><​p>​
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 +</​div></​html>​
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